This study proposes a novel mathematical model for redesigning existing relief logistics network including suppliers, distribution centers and demand nodes along with integrating the measures in preparedness and response phases, simultaneously. In order to improve the accessibility and connectivity, certain precautionary measures for strengthening and rehabilitation of the links have been taken into account in the preparedness phase. In addition, a new debris clearance scheduling model for blocked links is modeled in accordance with the rehabilitation strategies. To overcome the uncertainty in a predefined destruction scenario tree, a multi-stage stochastic programming has been applied in a real case study. The results obtained in the proposed model indicate that the redesigned network leads to better performance in dealing with evacuees’ requested relief as compared to the results obtained by the existing network. Moreover, the results clearly demonstrate the significant value of solutions determined by multi-stage stochastic programming.